Andrea Riva

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We describe the design and implementation of a distributed computer-based system for the management of insulin-dependent diabetes mellitus. The goal of the system is to support the normal activities of the physicians and patients involved in the care of diabetes by providing them with a set of automated services ranging from data collection and transmission(More)
This paper outlines the methodologies that can be used to perform an intelligent analysis of diabetic patients' data, realized in a distributed management context. We present a decision-support system architecture based on two modules, a Patient Unit and a Medical Unit, connected by telecommunication services. We stress the necessity to resort to temporal(More)
We introduce a novel technique for summarizing a short video to a single image, by augmenting the last frame of the video with comic-like lines behind moving objects (speedlines), with the goal of conveying their motion. Compared to existing literature, our approach is novel as we do not attempt to track moving objects nor to attain any high-level(More)
This paper outlines the methodologies that can be used to perform an intelligent analysis of diabetic patients' data, realized in a distributed management context. We present a decision-support system architecture based on two modules, a Patient Unit and a Medical Unit, connected by telecommunication services. We stress the necessity to resort to temporal(More)
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